158 related articles for article (PubMed ID: 21681512)
1. Classification of juvenile myoclonic epilepsy data acquired through scanning electromyography with machine learning algorithms.
Goker I; Osman O; Ozekes S; Baslo MB; Ertas M; Ulgen Y
J Med Syst; 2012 Oct; 36(5):2705-11. PubMed ID: 21681512
[TBL] [Abstract][Full Text] [Related]
2. Large motor unit territories by scanning electromyography in patients with juvenile myoclonic epilepsy.
Goker I; Baslo B; Ertas M; Ulgen Y
J Clin Neurophysiol; 2010 Jun; 27(3):212-5. PubMed ID: 20461011
[TBL] [Abstract][Full Text] [Related]
3. Computerized lung nodule detection using 3D feature extraction and learning based algorithms.
Ozekes S; Osman O
J Med Syst; 2010 Apr; 34(2):185-94. PubMed ID: 20433057
[TBL] [Abstract][Full Text] [Related]
4. Identifying juvenile myoclonic epilepsy via diffusion tensor imaging using machine learning analysis.
Lee DA; Ko J; Kim HC; Shin KJ; Park BS; Kim IH; Park JH; Park S; Park KM
J Clin Neurosci; 2021 Sep; 91():327-333. PubMed ID: 34373048
[TBL] [Abstract][Full Text] [Related]
5. Differentiation of myoclonic seizures in epileptic syndromes: a video-polygraphic study of 26 patients.
Hirano Y; Oguni H; Funatsuka M; Imai K; Osawa M
Epilepsia; 2009 Jun; 50(6):1525-35. PubMed ID: 19055489
[TBL] [Abstract][Full Text] [Related]
6. Bioactivity Comparison across Multiple Machine Learning Algorithms Using over 5000 Datasets for Drug Discovery.
Lane TR; Foil DH; Minerali E; Urbina F; Zorn KM; Ekins S
Mol Pharm; 2021 Jan; 18(1):403-415. PubMed ID: 33325717
[TBL] [Abstract][Full Text] [Related]
7. Comparative evaluation of support vector machines for computer aided diagnosis of lung cancer in CT based on a multi-dimensional data set.
Sun T; Wang J; Li X; Lv P; Liu F; Luo Y; Gao Q; Zhu H; Guo X
Comput Methods Programs Biomed; 2013 Aug; 111(2):519-24. PubMed ID: 23727300
[TBL] [Abstract][Full Text] [Related]
8. A two-dimensional matrix image based feature extraction method for classification of sEMG: A comparative analysis based on SVM, KNN and RBF-NN.
Wen T; Zhang Z; Qiu M; Zeng M; Luo W
J Xray Sci Technol; 2017; 25(2):287-300. PubMed ID: 28269818
[TBL] [Abstract][Full Text] [Related]
9. Automated Detection of Juvenile Myoclonic Epilepsy using CNN based Transfer Learning in Diffusion MRI.
Si X; Zhang X; Zhou Y; Sun Y; Jin W; Yin S; Zhao X; Li Q; Ming D
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1679-1682. PubMed ID: 33018319
[TBL] [Abstract][Full Text] [Related]
10. Detecting compensatory movements of stroke survivors using pressure distribution data and machine learning algorithms.
Cai S; Li G; Zhang X; Huang S; Zheng H; Ma K; Xie L
J Neuroeng Rehabil; 2019 Nov; 16(1):131. PubMed ID: 31684970
[TBL] [Abstract][Full Text] [Related]
11. Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models.
Rau CS; Kuo PJ; Chien PC; Huang CY; Hsieh HY; Hsieh CH
PLoS One; 2018; 13(11):e0207192. PubMed ID: 30412613
[TBL] [Abstract][Full Text] [Related]
12. Machine learning approach to an otoneurological classification problem.
Joutsijoki H; Varpa K; Iltanen K; Juhola M
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():1294-7. PubMed ID: 24109932
[TBL] [Abstract][Full Text] [Related]
13. Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.
Maniruzzaman M; Jahanur Rahman M; Ahammed B; Abedin MM; Suri HS; Biswas M; El-Baz A; Bangeas P; Tsoulfas G; Suri JS
Comput Methods Programs Biomed; 2019 Jul; 176():173-193. PubMed ID: 31200905
[TBL] [Abstract][Full Text] [Related]
14. Application of supervised machine learning algorithms in the classification of sagittal gait patterns of cerebral palsy children with spastic diplegia.
Zhang Y; Ma Y
Comput Biol Med; 2019 Mar; 106():33-39. PubMed ID: 30665140
[TBL] [Abstract][Full Text] [Related]
15. Assessing workload in using electromyography (EMG)-based prostheses.
Park J; Berman J; Dodson A; Liu Y; Armstrong M; Huang H; Kaber D; Ruiz J; Zahabi M
Ergonomics; 2024 Feb; 67(2):257-273. PubMed ID: 37264794
[TBL] [Abstract][Full Text] [Related]
16. Effect of multiscale PCA de-noising on EMG signal classification for diagnosis of neuromuscular disorders.
Gokgoz E; Subasi A
J Med Syst; 2014 Apr; 38(4):31. PubMed ID: 24696395
[TBL] [Abstract][Full Text] [Related]
17. Neurophysiology of juvenile myoclonic epilepsy: EEG-based network and graph analysis of the interictal and immediate preictal states.
Clemens B; Puskás S; Besenyei M; Spisák T; Opposits G; Hollódy K; Fogarasi A; Fekete I; Emri M
Epilepsy Res; 2013 Oct; 106(3):357-69. PubMed ID: 23886656
[TBL] [Abstract][Full Text] [Related]
18. Stacking classifier to improve the classification of shoulder motion in transhumeral amputees.
Kaur A
Biomed Tech (Berl); 2022 Apr; 67(2):105-117. PubMed ID: 35363448
[TBL] [Abstract][Full Text] [Related]
19. Prediction of different types of liver diseases using rule based classification model.
Kumar Y; Sahoo G
Technol Health Care; 2013; 21(5):417-32. PubMed ID: 23963359
[TBL] [Abstract][Full Text] [Related]
20. An improved support vector machine-based diabetic readmission prediction.
Cui S; Wang D; Wang Y; Yu PW; Jin Y
Comput Methods Programs Biomed; 2018 Nov; 166():123-135. PubMed ID: 30415712
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
